Responsibilities

• Analyse customer, transactional, and behavioural data from the Single Customer View (SCV), Data Warehouse, and other data sources to identify opportunities to improve acquisition, retention, cross-sell, and upsell performance.
• Generate actionable customer insights to support CRM and lifecycle marketing strategies, including triggered journeys and tailored renewal and retention programmes.
• Identify key churn drivers and develop leading indicators to support proactive marketing interventions.
• Build customer profiles and segmentation frameworks to identify high-value, high-margin, and at-risk customer groups.
• Design and implement engagement scoring and customer prioritisation models to improve marketing targeting and effectiveness.
• Deliver detailed post-campaign analysis, measuring campaign performance and identifying opportunities for optimisation.
• Monitor performance trends, forecast gaps, and provide insight into variances against business plans to support commercial decision-making.
• Translate complex analysis into clear, compelling reports, dashboards, and presentations for senior stakeholders and non-technical audiences.
• Collaborate with teams across Marketing, CRM, Data, and Commercial functions to drive a data-led culture and promote best practice in analytics and insight generation.

Requirements

• Degree in Computer Science, Statistics, Mathematics, Data Science, or another quantitative discipline.
• Significant experience in CRM, Marketing Analytics, or Customer Insight roles.
• Advanced SQL skills with strong experience applying statistical techniques to customer and marketing data.
• Experience working with large datasets, data warehousing platforms (such as Snowflake), and cloud-based analytics environments including AWS, Azure, or GCP.
• Strong analytical capability, including data manipulation, statistical analysis, and insight generation.
• Expertise in data visualisation and reporting tools such as Tableau and Power BI.
• Experience using marketing analytics and campaign management platforms such as FastStats.
• Strong communication skills with the ability to present complex insights clearly to a range of stakeholders.

Preferred

• Experience building predictive, propensity, or next-best-action models would be advantageous.
• Exposure to machine learning techniques and predictive analytics is desirable.

Benefits

• we invest in talent, back bold ideas and create space for innovation to flourish because growth happens when great people are empowered to do their best work.
• Staysure Group welcomes all new starters with open arms, providing training, development opportunities, and great benefits.